- ASRR-PINN: Adaptive Sub-Regional Random Resampling-Based PINN for Thermal Analysis of 3D-ICs
- Exploring Dynamic Security Analysis of Android Apps Across Flutter Versions
- Efficient Identification of Rice Leaf Disease Through the Use of Cutting-Edge Deep Learning Techniques
- Aerial Infrared Health Monitoring of Solar Photovoltaic Farms at Scale
- Cell-wise Self-optimization: Making Pre-trained Model Better in Remote Sensing Counting
- AGDPM-Net: Hybrid Ensemble Framework for Genetic Disorder Prediction
- Dust to Detail: Restoring Sand-dust Images with Frequency-Guided Attention and Multi-Scale Features
- Identification of Deterioration Areas in Green Vegetables Using Image Segmentation Algorithm Based on Green Vegetable Photos
- Mining Public Sentiment on Digital Tax System: A Twitter-Based Case Study of Coretax DJP
- ArbiterQ: Improving QNN Convergency and Accuracy by Applying Personalized Model on Heterogeneous Quantum Devices
- Enhancing Recommendation Performance using Attribute-aware Message-Passing and Augmentation GCN
- Application of Time-Frequency Signal Processing Techniques for UAV Fault Diagnosis
- Deep Learning-based Student Engagement Detection using CNN, Mobile Net, ResNet50, VGG16
- Robustness Evaluation for Video Models with Reinforcement Learning
- Holistic Design towards Resource-Stringent Binary Vector Symbolic Architecture
- Research on the application of the coupling device between unmanned aerial vehicle and live-line utomatic lnstallation robot based on the Hough algorithm in grounding ring positioning of 10kV lines
- Leveraging Intermediate Features of Vision Transformer for Face Anti-Spoofing
- Enhancing Flexibility for Coal-Fired Power Plant via Integrated Pulverized Coal Silo System
- Mixed Structural Choice Operator: Enhancing Technology Mapping with Heterogeneous Representations
- Hybrid Fog-Cloud Architectures for Enhanced IoT Scalability and Performance
- FlexStep: Enabling Flexible Error Detection in Multi/Many-core Real-time Systems
- Scale-Invariant Implicit Neural Representations for Object Counting
- ARCANE: Adaptive RISC-V Cache Architecture for Near-memory Extensions
- Comparative Analysis of Deep Learning Models for Alcohol Scene Detection: A Comprehensive Benchmark Study
- Uncovering Branch Specialization in InceptionV1 Using K Sparse Autoencoders
- A Deep Learning Model Integrating Reinforcement Learning for Personalized English Language Learning and Automated Feedback in CALL Systems
- Dynamic State-Control Modeling for Generalized Remote Sensing Image Super-Resolution
- Performance Evaluation of LSTM, SVR, and Hybrid LSTM-SVR Models in Corn Commodity Price Prediction
- EPOC: An Efficient Pulse Generation Framework with Advanced Synthesis for Quantum Circuits
- Research on the Scheme for Non-outage Reconstruction of GIS Substations
- LLM-Based Chatbot for the Indonesia University IT Service Desk: Integrating DeepSeek-v3 API and a RAG Approach
- CLESQ-ZOA-GCRNN: A Hybrid Deep Learning Framework for Predicting IVF/ICSI Success using Optimized Clinical Features
- Security Audit Process Design Based on SIEM and CSPM Integration with Design Science Research Methodology Approach
- Text-Guided Patch Scoring and Local Distortion Guidance for Image Quality Assessment
- Neutral Point Grounding Configuration Effects on Voltage Balance in a Three-Phase IPOS LCC Resonant Converter
- Research on Safety Risk Management of Substation Switching Operations Based on Information Fusion
- T-SAM: Transductive Learning for Segment Anything Model
- LR-FHSS: Analytical Model of Channel Capacity and Header Redundancy Optimization
- Enhancing Multi-Modal Automatic Target Recognition Using Out-of-Distribution Exploitation (MATRODE)
- Thermal Image Super-Resolution Challenge Results - PBVS 2025
- Hybrid Framework for Prime Number Prediction Using Fourier-Encoded Temporal Features and Self-Learning Models
- Analysis and simulation of wide-area frequency oscillations in doubly-fed induction generator grid-connected system
- Comparative Analysis of CNN, RNN, and DNN Architectures for Disease Classification
- ForesightNav: Learning Scene Imagination for Efficient Exploration
- Rethinking Compressive Sensing: A Compression Framework for Video Super-Resolution
- Towards Evaluating the Robustness of Visual State Space Models
- An Improved YOLOv9-Based Defect Detection Method for Catenary System Support Device Components
- MambaDiff: Mamba-Enhanced Diffusion Model for 3D Medical Image Segmentation
- Comprehensive Robotic Automation-Driven IoMT Framework Combining Deep Learning, Temporal Convolutional Networks, Fuzzy Cognitive Maps, and Ensemble Optimization Techniques for Reliable Chronic Kidney Disease Detection
- Indonesian X Tweets Classification for General Eating Disorders (EDs) by Utilizing Ensemble Learning
- LAPIS: A Novel Dataset for Personalized Image Aesthetic Assessment
- IGL-DT: Iterative Global-Local Feature Learning with Dual-Teacher Semantic Segmentation Framework Under Limited Annotation Scheme
- Partial discharge signal recognition method based on singular value decomposition and probabilistic neural network
- GaussR-SLAM: Gaussian Robust SLAM in Data Loss and Interference Environments
- Tornado Prediction and Tracking Using Cloud-Based Data Solutions
- Beyond Academic Benchmarks: Critical Analysis and Best Practices for Visual Industrial Anomaly Detection
- Joint Cutting for Hybrid Schrödinger-Feynman Simulation of Quantum Circuits
- ChipAlign: Instruction Alignment in Large Language Models for Chip Design via Geodesic Interpolation
- A Comparative Study of Deep Learning Models and XAI for Breast Ultrasound Image Classification
- NeuRadar: Neural Radiance Fields for Automotive Radar Point Clouds
- A Survey of State of the Art Large Vision Language Models: Alignment, Benchmark, Evaluations and Challenges
- Utility-Aware Adaptive Streaming of Segmented Holographic Video Over Wireless Networks: A Knapsack-Theoretic Approach
- Frequency-Prior Enhanced Ambient Lighting Normalization Via Visual Perceptual Refinement
- Mitigating Road Accidents through Driver Drowsiness Detection using Facial Landmarks
- HPIM-NoC: A Priori-Knowledge-Based Optimization Framework for Heterogeneous PIM-Based NoCs
- Estimation of Baseline Hazard Function with B-Spline in Additive Hazard Model
- A Rotor Current Balancing Control Strategy for DFIG-VSG under Weak Grid Unbalance Conditions
- WaveDIF: Wavelet Sub-Band based Deepfake Identification in Frequency Domain
- Dual Precision Quantization for Efficient and Accurate Deep Neural Networks Inference
- Sentiment Classification on Social Media Using RoBERTa Method Case Study: Food Prices
- Exploiting Adversarial Learning and Topology Augmentation for Open-Set Visual Recognition
- Personality Classification Based on Social Media and Big Five Personality Categories Using Logistic Regression Model
- Deciding the Path: Leveraging Multi-Agent Systems for Solving Complex Tasks
- Evaluation of Fast-Charging System Designs for Two-Wheeler EVs: A Comparative Optimization Approach
- Dynamic Electricity Carbon Emission Factor Estimation for Gas-Fired Power Units Using Temporal Encoding and Bayesian Calibration
- ALLMod: Exploring Area-Efficiency of LUT-based Large Number Modular Reduction via Hybrid Workloads
- LNTransformer: Lung Nodule Transformer for Sparse CT Segmentation
- SPIdepth: Strengthened Pose Information for Self-Supervised Monocular Depth Estimation
- Intermittent Systems at Small Scale: Execution Model and Design Guidelines
- Exploring Deep Architectures for Accurate Breast Cancer Prediction using Histopathological Images
- 3DFACENet: 3D Facial Attractiveness Computation and Enhancement Network
- A NOMA-IRSA Scheme with Maximum Transmission Power Limits for IoT-Satellite Ground Relay Networks
- Sport Field Calibration with NeRF-Guided Camera Optimization from a Single Image
- High-Performance Computing Architecture Exploration with Stage-Enhanced Bayesian Optimization
- An Empirical Study on the Use of Augmented Reality in Cosmetic Product Purchases by Extending The TAM Model and Engagement Framework
- SC-NeRF: NeRF-Based Point Cloud Reconstruction Using a Stationary Camera for Agricultural Applications
- LearnGraph: A Learning-Based Architecture for Dynamic Graph Processing
- Do Fusion Models Improve Volatility Forecasting? Evidence from Developed, Emerging, and Frontier Stock Markets
- A Transformer-Based Stock Trend Prediction with Sentiment Analysis of Relevant and Urgent Tweets
- Design of a Radiation Pattern Reconfigurable Leaky Wave Antenna
- Quantum Circuit Optimisation and MBQC Scheduling with a Pauli Tracking Library
- Cost-Distance Steiner Trees for Timing-Constrained Global Routing
- ForecastGAN-LSTM A Hybrid Deep Learning Framework for Intelligent Production Forecasting in Smart Manufacturing Systems
- System Architecture Modelling of Sugarcane Agroindustry Machinery Anomaly Detection Through Machine Learning
- Assessing MSMEs’ Readiness for Digital Payment Adoption: A UTAUT2-Based Approach
- A Dataset for Semantic and Instance Segmentation of Modern Fruit Orchards
- CMFuzz: Parallel Fuzzing of IoT Protocols by Configuration Model Identification and Scheduling
- Identifying Key Factors for Effective User Requirement Elicitation in Agile and Traditional Software Development: An Empirical Study
- A Novel 3D Decoder with Weighted and Learnable Triple Attention for 3D Microscopy Image Segmentation
- Multimodal Emotion Prediction in Interpersonal Videos Integrating Facial and Speech Cues
